139 search results - page 27 / 28 » Model-based function approximation in reinforcement learning |
112
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ICML
1994
IEEE
15 years 5 months ago
1994
IEEE
Compositional Q-Learning (CQ-L) (Singh 1992) is a modular approach to learning to performcomposite tasks made up of several elemental tasks by reinforcement learning. Skills acqui...
124
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SASO
2008
IEEE
15 years 8 months ago
2008
IEEE
The distribution of data in large dynamic wireless sensor networks presents a difficult problem due to node mobility, link failures, and traffic congestion. In this paper, we pr...
108
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ICML
2005
IEEE
16 years 2 months ago
2005
IEEE
T ORDER REGRESSION (EXTENDED ABSTRACT) Kurt Driessensa Saso Dzeroskib a Department of Computer Science, University of Waikato, Hamilton, New Zealand (kurtd@waikato.ac.nz) b Departm...
120
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EC
2006
15 years 1 months ago
2006
The performance of a learning classifier system is due to its two main components. First, it evolves new structures by generating new rules in a genetic process; second, it adjust...
116
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STOC
1994
ACM
15 years 5 months ago
1994
ACM
We present new results on the well-studied problem of learning DNF expressions. We prove that an algorithm due to Kushilevitz and Mansour [13] can be used to weakly learn DNF form...